2020/2021
BA-BMAKO1041U Statistics
|
|
| Language |
English |
| Course ECTS |
7.5 ECTS |
| Type |
Mandatory |
| Level |
Bachelor |
| Duration |
One Semester |
| Start time of the course |
Autumn |
| Timetable |
Course schedule will be posted at
calendar.cbs.dk |
| Study board |
Study Board for BSc in Business Administration and Market
Dynamics and Cultural Analysis
|
| Course
coordinator |
- Jan Michael Bauer - Department of Management, Society and
Communication (MSC)
|
| Main academic
disciplines |
- Statistics and quantitative methods
|
| Teaching
methods |
|
|
|
Last updated on
11-12-2020
|
| Learning objectives |
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors:
- display an understanding of statistical terminology, processes
and theories
- understand simple mathematical notation to read and express
statistical problems
- inspect, manipulate and analyze data using statistical
software
- independently conduct and justify statistical analyses for
given data
- critically reflect on statistical analyses and communicate
their results in clear language
|
| Examination |
|
Statistics:
|
| Exam
ECTS |
7,5 |
| Examination form |
Home assignment - written product |
| Individual or group exam |
Individual exam |
| Size of written product |
Please see text below |
|
The number of pages is not relevant |
| Assignment type |
Written assignment |
| Duration |
Written product to be submitted on specified date
and time. |
| Grading scale |
7-point grading scale |
| Examiner(s) |
One internal examiner |
| Exam period |
Winter |
| Make-up exam/re-exam |
Same examination form as the ordinary exam
If the number of registered
candidates for the make-up examination/re-take examination warrants
that it may most appropriately be held as an oral examination, the
programme office will inform the students that the make-up
examination/re-take examination will be held as an oral examination
instead.
|
Description of the exam
procedure
The exam is online and lasts 4
hours.
|
|
| Course content, structure and pedagogical
approach |
|
This course provides an amicable introduction to the core
concepts of statistics. Focusing on understanding and application
this course is accessible to students without a strong mathematical
background. Starting from the basics of understanding and
describing quantitative information and probabilities the course
will cover the essential aspects of statistics, such as sampling
theory, statistical inference and null-hypothesis testing. Students
will learn the use analytical software and acquire the ability to
answer quantitative research questions using the appropriate
technique. Methods of analysis are oriented towards consumer
research and include the study of group differences, relationships
and multivariate analysis. Strengthening skills to read, evaluate
and communicate the results of statistical analysis will enhance
student’s ability to use quantitative data in a meaningful way.
Students will become familiar with the use of basic mathematical
notations and learn to solve simple problem sets linked to
statistical questions.
|
| Description of the teaching methods |
| The course will combine classical on campus and
online lectures with supervised campus and online exercises.
Blended learning elements will be used to foster student engagement
and provide learning feedback. With its focus on application and
basic understanding, methods will be taught hands-on using software
in class and exercises. Students will receive an introduction into
the use of these tools in dedicated workshop. Participants are
expected to actively engage into problem-solving exercises within
class and at home, as well as pre-class preparation by reading the
respective material. Continuous assessment will support student
learning and provide guidance regarding their progress towards
mastering the learning objectives. |
| Feedback during the teaching period |
| Student receive feedback through exercises and
dedicated blended learning elements. |
| Student workload |
| Lectures+ Exercise |
41 hours |
| Supervised practical sessions |
8 hours |
| Preparation |
150 hours |
| Exam |
4 hours |
|
| Expected literature |
|
Statistics: The Art and Science of Learning from Data, Global
Edition
by Alan Agresti & Christine A.
Franklin & Bernhard Klingenberg
4th Edition, Pearson Education Limited
2018, ISBN: 9781292164779
|
Last updated on
11-12-2020
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